Natural Language Processing and Understanding

Introduction to NLP e NLU. Distributional Lexical Semantics. Lexical Semantics. Sentiment analysis. Machine Learning methods applied to NLP and NLU. Natural Language Inference. Language modeling. Sentence understanding. Word embeddings.

Basic Information

Workload
60 hours

Mandatory: 

  • Speech and Language Processing. Dan Jurafsky and Jim martin. 2014
  • Neural Network methods for Natural Language Processing. Yoav Goldberg. 2017
  • Foundations of Statistical Natural Language Processing. Manning and Schütze. 1999

Complementary: 

  • Python Natural Language Processing: Advanced machine learning and deep learning techniques for natural language processing. Jalaj Thanaki. 2017
  • Natural Language Processing with Python Cookbook: Over 60 recipes to implement text analytics solutions using deep learning principles. Krishna Bhavsar and Naresh Kumar. 2017
  • Deep Learning in Natural Language Processing. Li Deng and Yang Liu. 2018
  • Deep Learning with Text: Natural Language Processing (Almost) from Scratch with Python and spaCy. Patrick Harrison and Matthew Honnibal. 2018
  • Natural Language Understanding in a Semantic Web Context. Caroline Barrière. 2016.
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